Muhammad A. Saeed

611 citations
36 papers · 434 · h-index 12

Impact in

    • Vector-borne infectious diseases
    • Parasitic Infections and Diagnostics
    • Escherichia coli research studies

Papers in

Muhammad A. Saeed

34 papers receiving 420 citations

Peers

Muhammad A. Saeed
Comparison fields: 5 of 89
  • Parasitology 108
  • Endocrinology 52
  • Small Animals 65
  • Equine 14
  • Molecular Medicine 36
Replace Omid Teymournejad with:
Omid Teymournejad Iran
Timothy W. J. Olchowy United States
Kirsty L. Lightbody United Kingdom
Yanan Lu China
Gil‐Jae Cho South Korea
Sally J. Hicks United Kingdom
Cosmin Chintoan‐Uta United Kingdom
David Hutto United States
Michele Corazza Italy
Mary C. DeBey United States
Muhammad A. Saeed relative to Omid Teymournejad Iran Omid Teymournejad's profile →
Citations per field
00.5×1.5×2.3×
Omid Teymournejad · 1×
Citations per year

Countries citing papers authored by Muhammad A. Saeed

Since Specialization
Citations

This map shows the geographic impact of Muhammad A. Saeed's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Muhammad A. Saeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad A. Saeed more than expected).

Fields of papers citing papers by Muhammad A. Saeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad A. Saeed. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Muhammad A. Saeed. The network helps show where Muhammad A. Saeed may publish in the future.

Co-authors

The 25 scholars most cited alongside Muhammad A. Saeed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad A. Saeed Line = papers co-authored together Muhammad A. Saeed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201946
2 202236
3 201733
4 201730
5 201426
6 200925
7 200924
8 201122
9 201922
10 201822
11 201921
12
Epidemiological and vector identification studies on canine babesiosis.
200916
13 200911
14 20189
15 20189
16 20199
17 20238
18 20197
19 20207
20 20236

About Muhammad A. Saeed

Muhammad A. Saeed is a scholar working on Immunology, Plant Science, Parasitology, Infectious Diseases and Oncology, having authored 36 papers that have together received 434 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Prostate Cancer Treatment and Research (4 papers), Vector-borne infectious diseases (4 papers), Escherichia coli research studies (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (3 papers), Viral Infections and Vectors (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Parasitology (108 citations), Endocrinology (52 citations), Small Animals (65 citations), Equine (14 citations) and Molecular Medicine (36 citations). Muhammad A. Saeed has collaborated with scholars based in Australia, United States and Pakistan. Frequent co-authors include Abdul Jabbar, Aamir Ali, Yasra Sarwar, Abdul Haque, Saira Bashir, Ayesha Tariq, Mashkoor Mohsin, Philip Sutton, Tayyaba Iftikhar and Mohammed H. Rashid. Their work appears in journals such as Parasitology Research, Parasites & Vectors, The Journal of Antibiotics, BMJ Open Respiratory Research and Nature Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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